Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Multi-Source Remote Sensing and Ensemble Learning for Habitat Suitability Mapping of the Common Leopard (<i>Panthera pardus</i>) in Azad Jammu and Kashmir, Pakistan. [PDF]
Dildar Z, Huang W, Ahmed R, Khalid Z.
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Greater pollen-mediated gene flow among than within populations of a bumblebee-pollinated forest herb despite habitat fragmentation. [PDF]
Feigs JT +4 more
europepmc +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Patterns in the distribution of Ecuadorian amphibian type localities. [PDF]
Székely D, Armijos-Ojeda D, Székely P.
europepmc +1 more source
Managed rainforests support higher carbon density and sequestration in the Congo Basin. [PDF]
Sagang LB +14 more
europepmc +1 more source
Effect of Construction Restrictions on Future Landslide Exposure Under Land-Use Simulation in Southwest China. [PDF]
Jin J +7 more
europepmc +1 more source
A non-Euclidean movement model to quantify landscape connectivity with open spatial capture-recapture models. [PDF]
Kervellec M +18 more
europepmc +1 more source
Broad-Scale Habitat Suitability and Fine-Scale Habitat Characterization of the Cerulean Warbler Using Species Distribution Modeling, Passive Acoustic Monitoring, LiDAR, and Satellite Remote Sensing. [PDF]
Adeniji AE, Hupy J, Pijanowski B.
europepmc +1 more source

